Senior Machine Learning Engineer

🔥 12 hours ago

🇨🇦 Canada – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Fullscript

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

💰 $240M Private Equity Round on 2021-11

Healthcare • Logistics • Manufacturing

Fullscript is a comprehensive platform that facilitates whole person care for healthcare providers. It integrates industry-leading lab testing, high-quality supplements, and a suite of tools designed to enhance patient adherence and outcomes. Fullscript offers features like personalized patient plans, evidence-based templates, patient engagement tools, and seamless wholesale ordering of supplements. The platform also integrates with top EHR systems to streamline workflows for healthcare practitioners, making it easier for them to provide effective care. With Fullscript, patients can manage their health routines more conveniently, and providers can create personalized care plans with the support of clinical evidence and insights.

📋 Description

• Design, build, and deploy LLM-powered product features, including lab result summaries, clinical workflow tools, and practitioner-facing conversational agents • Build backend services integrating LLMs and ML models into Fullscript’s platform, primarily using Python and increasingly Elixir • Develop AI systems supporting open-ended clinical questions, follow-up interactions, and reasoning over structured and unstructured healthcare context • Implement prompting, grounding, retrieval, and safety strategies • Build evaluation, testing, monitoring, and CI/CD workflows for AI features • Partner with medical, product, analytics, and engineering teams to translate clinical needs into scalable AI capabilities • Own AI systems from experimentation and prototyping through production deployment, iteration, and ongoing improvement • Contribute to architecture and implementation decisions for AI-powered analytics, lab interpretation, and clinical decision-support workflows • Stay current with LLM, agentic AI, and applied ML ecosystems while assessing production readiness

🎯 Requirements

• 7+ years of experience in machine learning engineering, applied AI engineering, backend engineering, or a similar role, with a track record of shipping production systems • 2+ years of recent hands-on experience building LLM-powered applications, including conversational agents, RAG workflows, tool use, or agentic systems • Strong backend development experience in Python • Solid SQL fundamentals • Familiarity with MCP, Langfuse, agent orchestration patterns, tool-calling systems, or multi-step AI workflows • Experience integrating LLMs such as OpenAI, Gemini, Anthropic, or similar models into user-facing products • Experience with LangChain, LangGraph, Hugging Face tools, or similar frameworks • Strong engineering practices including Git, testing, CI/CD, observability, evaluation, and production monitoring • Experience evaluating and validating LLM applications for quality, hallucinations, correctness, edge cases, and reliability • Ability to work independently in ambiguous problem spaces and partner with technical, product, medical, and non-technical stakeholders

🏖️ Benefits

• Flexible PTO • RRSP/401k match • Stock options • Premium benefits package with customizable coverage • Paramedical services • HSA • Fullscript discounts on wellness products • Continuous learning opportunities • Remote-first flexibility • Competitive pay